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undergraduate thesis
Semantička segmentacija harmoničkim gusto povezanim modelima
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:236302
Matanović, Anto
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Matanović, A. (2022). Semantička segmentacija harmoničkim gusto povezanim modelima (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:236302

Matanović, Anto. "Semantička segmentacija harmoničkim gusto povezanim modelima." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:236302

Matanović, Anto. "Semantička segmentacija harmoničkim gusto povezanim modelima." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:236302

Matanović, A. (2022). 'Semantička segmentacija harmoničkim gusto povezanim modelima', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 03 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:236302

Matanović A. Semantička segmentacija harmoničkim gusto povezanim modelima [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 November 03] Available at: https://urn.nsk.hr/urn:nbn:hr:168:236302

A. Matanović, "Semantička segmentacija harmoničkim gusto povezanim modelima", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:236302

Metadata
TitleSemantička segmentacija harmoničkim gusto povezanim modelima
Title (english)Semantic segmentation with harmonic densely connected models
AuthorAnto Matanović
MentorSiniša Šegvić (mentor)
Committee memberSiniša Šegvić (predsjednik povjerenstva)
Committee memberPetra Bevandić (član povjerenstva)
Committee memberMarin Kačan (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-15, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Tehnološki napredak omogućuje treniranje dubokih modela u razumnom vremenu. Modeli imaju raznolike upotrebe u raznim područjima poput medicine i prometa. Ovaj rad bavi se analizom prometnih scena te određivanjem objekata na slici, a to spada u područje semantičke segmentacije. Za rješavanje tog problema koristi se FC-HarDNet 70 arhitektura koja je pažljivo osmišljena tako da se smanji memorijsko opterećenje modela. FC-Hardnet 70 se pokazao puno efikasnijim od drugih sličnih modela poput DenseNet-a. Za treniranje i evaluaciju korišten je skup podataka CamVid. Opisani su osnovni pojmovi vezani za duboko učenje, korištene tehnologije i komentirani dobiveni rezultati.
Abstract (english)
Technological advance allows us to train deep models in real-time. These models have a variety of uses in many different fields like medicine or traffic. This paper is focused on interpreting and understanding scenes from traffic. That problem is known as semantic segmentation and the main goal is to classify every pixel in the picture to its label. To solve this problem, we used architecture FC-HarDNet 70 which was designed carefully to reduce dynamic random memory access(DRAM). FC-HarDNet 70 has proven to be more efficient than previous models like DenseNets. For training and evaluation purposes we used the CamVid dataset. In this paper, we explained fundamental concepts in deep learning as well as used technologies. In the end, we published and interpreted the given results of the experiment.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:236302
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-15 10:47:20